Plane target classification method based on time domain and Doppler domain

Abstract

The invention discloses a plane target classification method based on a time domain and a Doppler domain, and relates to classification methods for moving targets in the air. According to the implementation process of the plane target classification method, a radar conducts observation many times and receives echo signals of a plane target for clutter rejection; time domain waveform entropy and Doppler domain waveform entropy of the signals are calculated; an entropy matrix S' is constructed; the time domain waveform entropy mean value, the time domain waveform entropy 1 order moment and the Doppler domain waveform entropy mean value of each row of the entropy matrix S' are figured out; classifiers are trained by means of the time domain waveform entropy mean values, the time domain waveform entropy 1 order moments and the Doppler domain waveform entropy mean values; test samples are input to the classifiers for classification. The method mainly solves the problems that when the radar carries out observation once under the condition that beam dwell time is shorter than a time domain echo cycle of a rotating part, a micro-doppler modulation spectrum is broadened and the resolution ratio of the micro-doppler modulation spectrum is lowered. Classification accuracy is obviously improved, and the method is used for classification and identification of plane targets.

Description

technical field [0001] The invention belongs to radar technology, and relates to a method for classifying moving targets in the air, in particular to a method for classifying aircraft targets based on time domain and Doppler domain. Classification and identification are performed through multiple radar observations. Background technique [0002] In recent years, micro-motion characteristics have received extensive attention in radar target recognition. Micro-movement refers to the vibration or rotation of the radar target other than the translation of the center of mass. In 2000, Victor C. Chen of the U.S. Naval Research Laboratory first published the experimental results of micro-Doppler effect analysis in microwave radar. Experiments show that different micro-movements will produce different micro-Dopplers. The micro-Doppler effect can reflect the geometric composition and motion characteristics of target structural components. In addition, the time-domain characteristic...

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